Description
About DNSFilter
At DNSFilter we have a singular mission: to challenge the way the industry thinks about security via DNS. We support over 15,000 organizations, including Fortune 500 customers like NVIDIA, and Lenovo, and provide DNS security to more than 4 million end-users. And we are growing quickly! At the start of 2020, our software was processing 1B queries/day. At the end of 2021, we were processing an average of 17B queries/day! In the middle of a global pandemic, our team (and product) thrived. We doubled the size of our team, tripled the size of our company, and we're looking to do it all over again in 2022.
About the Role
DNSFilter already provides some of the best-in-class threat protection available, but we are constantly expanding our capabilities and looking for ways to make it even better. To assist with this, we are looking for a Data Scientist to analyze large amounts of raw information to find key patterns to build data products to extract and analyze valuable business insights that will help improve DNSFilter, making an everlasting impact each and every step of the way.
In this role as a Data Scientist, it's essential to be a highly analytical person who's skilled in and has a knack for research, analysis, math, and/or statistics. As well, being a critical thinker and problem-solver is essential for interpreting data, especially with the amount of data that this team handles on a day-to-day basis. Our Data Science and Domain Intelligence team is looking for a Data Scientist who thrives on new challenges and who's truly passionate about research, data, and machine learning.
What you'll do

• Commence and own the project lifecycle at all phases (i.e., solve for solutions, collect data, preprocess data, analyze data, clean data, use the data, and finally deploy the model of the data to put into production)
• Build models to assess patterns and use them to help improve the business' challenges, problems, and/or issues
• Clearly present information, research, and analysis using data visualization techniques
• Identify valuable data sources and automate collection processes
• Preprocess both structured and unstructured data
• Work with very large amounts of data and information to discover new (or old) important trends and patterns to extract and analyze for valuable business insights
• Build predictive models and machine-learning algorithms
• Propose solutions and strategies using data and data analysis
• Cross-functionally partner with and collaborate on a daily basis with teams across the organization, and on a daily basis closely collaborate with the Domain Intelligence team to drive key projects with an achievable and reliable outcomes

What you've done

• Master's degree or PhD in Applied Mathematics, Statistics, CS, and/or Social Sciences
• 2-4 years experience, most recently in Data Science, data research, or a similar type role involving large amounts of data and/or data analysis
• Shared stories that were specifically derived from data
• Analyzed data using Time Series Methods
• Executed clearly written codes using Python, Sklearn, PyTorch
• Hands-on AWS experience
• Native English speaking (read / write / present) ability
• Can work in a mostly EST environment
• Experience working remotely

Bonus Points for

• Having built central actionable data intelligence systems
• Having written and/or personal content which was contributed to, or within, the cybersecurity community

The Good Stuff
100% Remote - company & role
4-day rotating work weeks
Competitive salary
Flexible Vacation Policy
Company SWAG
$800 Home office buildout allowance
Stock Options
MacBook Pro - provided laptop to work remotely
Fully covered medical, dental, and vision benefits (US-Based Employees)
Monthly USD stipends for health/benefits coverage (non-US employees)
Full short-term disability and life benefits; available long-term disability (US-Based Employees)
Team & company-wide offsites. Our most recent company offsite was spent in Cabo!